envOutliers: Detect environmental outliers

In occTest: Characterizing and Filtering Species Occurrence Data

Detect environmental outliers

Description

Detect environmental outliers using different methods

Usage

envOutliers(
  df,
  xf,
  yf,
  .r.env,
  .th.perc.outenv,
  .sp.name,
  method = "all",
  .projString,
  do = TRUE,
  verbose = FALSE
)

Arguments

df	data.frame of species occurrences
xf	character. column name in df containing the x coordinates
yf	character. column name in df containing the y coordinates
.r.env	raster. Raster with environmental data
.th.perc.outenv	numeric. Value from 0 to 1 to identify the rate of variables not passing the test to consider the record an environmental outlier.
.sp.name	Species name
method	charcter. Vector of methods to be used. See details. Default 'all'
.projString	proj4string character. Indicate coordinate reference system
do	logical. Should tests be performed? Default TRUE
verbose	logical. Print messages? Default FALSE

Details

Implemented methods are :
'bxp' based on boxplot distribution (1.5 Interquartile range) in a variable to identify the record as outlier (outliers)
'Grubbs' based on Grubbs test. See ?findEnvOutliers
Regardless of the method, the function already tests for missing environmental variables and it outputs the result in the output data.frame

Value

data.frame

Author(s)

Josep M Serra-Diaz ([e-mail]), Cory Merow ([e-mail]). Mark Robertson (biogeo package)

See Also

findEnvOutliers outliers

occTest documentation built on Nov. 18, 2022, 5:07 p.m.